package com.atguigu.flink.chapter11;

import com.atguigu.flink.bean.WaterSensor;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;

/**
 * @Author lizhenchao@atguigu.cn
 * @Date 2021/8/20 10:54
 */
public class Flink05_SQL_BaseUse {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);
        
        // 1. 先创建一流
        DataStreamSource<WaterSensor> waterSensorStream =
            env.fromElements(new WaterSensor("sensor_1", 1000L, 10),
                             new WaterSensor("sensor_1", 2000L, 20),
                             new WaterSensor("sensor_2", 3000L, 30),
                             new WaterSensor("sensor_1", 4000L, 40),
                             new WaterSensor("sensor_1", 5000L, 50),
                             new WaterSensor("sensor_2", 6000L, 60));
        
        // 2. 把流转成一个动态表
        StreamTableEnvironment tenv = StreamTableEnvironment.create(env);
        Table table = tenv.fromDataStream(waterSensorStream);
        
        // 使用sql去查询表
        
        // 两个方法可以执行sql
        //        tenv.sqlQuery()  // 只执行查询语句
        //        tenv.executeSql() // 执行费查询语句
        
        // 1. 查询未注册的表
        //tenv.sqlQuery("select * from " + table).execute().print();
        
        // 2. 查询已注册的表   sensor就是可以在sql中直接使用的表名
        tenv.createTemporaryView("sensor", table);
        tenv.sqlQuery("select * from default_catalog.default_database.sensor").execute().print();
        
    }
}
